Often, there are suspicious Amazon reviews that seem to be excessively positive or have been created through a repeating algorithm. I moved to detect fake reviews on Amazon through semantic analysis in conjunction with meta data such as time, word choice, and the user who posted. I first came up with several instances that may indicate a review isn't genuine and constructed what the algorithm would look like. Then I coded the algorithm and tested the accuracy of it using statistical analysis and analyzed it based on the six qualities of code.

中文翻译：

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亚马逊虚假评论

通常，可疑的亚马逊评论似乎过于积极，或者是通过重复算法创建的。我开始通过语义分析结合元数据（如时间、单词选择和发布用户）来检测亚马逊上的虚假评论。我首先提出了几个可能表明评论不真实的实例，并构建了算法的外观。然后我对算法进行了编码并使用统计分析测试了它的准确性，并根据代码的六个质量进行了分析。